v0.7.0

Changes:

• Parcellation demeans before PCA now.
• Can read in bdf/sqd/con files.
• Improved options for preprocessing/source reconstructing CTF data.
• Option to pass MNI fiducials of structurals
• Added functions for cleaning up headshape points and extracting fiducials/headshape points from different files (pos, elc).
• Validated the function to get leadfields.
• Added GLM plotting in source space.
• Updated installation and instructions.

PyPI: https://pypi.org/project/osl/0.7.0/

v0.6.0

Changes:

• Improvements to processing and source reconstruction functions.
• Fixed bugs.

v0.5.1

No functional changes

v0.5.0

The biggest change is a large enhancement of the GLM Module

v0.4.0

Summary of changes:

• improvements to the source recon report
• changes to coregistration
• fixes in maxfilter settings
• fixes in preproc report

v0.3.0

Substantial updates to support the 2023 OSL workshop alongside fixes and maintenance.

General summary

• Addition of GLM submodule
• Substantal updates to source reconstruction and parcellation
• Updates for newer MNE versions
• Updates to installation dependencies and conda environments

v0.2.0

General development of all subpackages, this includes:

• More options and functions for source reconstruction.
• Refactoring reporting: now generates a subject specific and summary report.
• Fixes and additions to the batch preprocessing.
• More examples scripts.
• Updated installation instructions.

v0.1.1

Critical hotfix for v0.1.0 - fixes a breaking packaging error

v0.1.0

The first release of OSL in Python.

This package contains functionality for electrophysiology data processing built around MNE-Python

!! Installation is broken in v0.1.0 - use v0.1.1